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A Sample Size Table for Forest Sampling

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This paper presents a sample size table for forest sampling which expresses sample size as a function of coefficient of variation and percentage sampling error. Sample sizes are calculated using iteration on a formula for simple random sampling. The iterative algorithm commonly used in forestry to calculate sample size is demonstrated to not always converge. A corrected iteration scheme is described and used to construct the table. Examples are included for illustration. Forest Sci. 28:777-784.
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Keywords: Sampling intensity; coefficient of variation; sampling error

Document Type: Journal Article

Affiliations: Senior Biometrician for the Research Branch of the British Columbia Ministry of Forests

Publication date: 1982-12-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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